anteater_alex

We are drowning in emails and Instant messaging, esp. in our workplaces. As a former CTO of a fast growing startup I was struck by how much frustration and wasted time there was due to inefficient communication and lack of sharing knowledge about who we know and who knows what.

I'm building AntEater to make every on teams as smart as the team - using AI. It's free to try (for Gmail and Slack - https://www.anteateranalytics.com/) for small teams and helps share knowledge and activity for truly transparent teams to help individuals work less and work better.

We're drowning in emails and Instant Messages and need AI to help make sense of it all. As a former CTO for a fast growing startup I was struck by how often everybody was asking the same questions about connections and skills, and how much time and efforts were wasted in mid-size organizations because of lack of transparency and visibility.

I'm building AntEater (www.anteateranalytics.com) with my team to bridge this gap and empower everyone who uses Gmail and Slack to be more knowledgeable - and as smart as the entire team, using AI. This is a radical shift in terms of information flow in organizations but I truly believe a more transparent workflow will lead to less work and less frustrations.

You can check out the project here - it's free for small teams https://try.anteateranalytics.com/

Absolutely! We're planning to record all consent and all relationships on blockchain (our own, because the ones out there are not scalable enough) so that people can lookup their partner history and make better data-driven decisions in their romantic lives. Imagine the disruption!

Hey HN - so we've realized AI could help massively scale dating in the workplace. After many years of hard work we're launching AntTinder today!

AntTinder helps you find love in the workplace - See who is dating who in your team, and scale workplace your workplace romances with AI. It’s built for Gmail and Slack.

Spread the news! our Twitter is @anttinder ;- )

We love feedback and ideas for improvement - Let us know if you have any questions & Happy 1st of April!

Here's how you can help get the word out

1.Share on LinkedIn! 2.Tweet ! Our twitter is @anttinder and please tweet about AntTinder! Here’s a tweet ready for you to use:

“Check out AntTinder, the new AI-powered app for Gmail and Slack to scale your workplace romances. Makes it super easy to find love in the workplace !” try.anteateranalytics.com/antinder/ @anttinder #workplaceLove #scaleWorkplaceRomance #AprilOfLove

3. Like us on Facebook! It’s easy, visit the website and click the like button at the top

> Only for the 10X price/performance boost for infrequently accessed services?

Yes. this will allow us to offload async tasks & other non-critical tasks to standard. It will also allow us to keep lots of various staging environments available for testing / unit testing, and deploy dedicated instances that are fully contained without 24/7 costs for each instance.

Re - latency - absolutely, we've seen times where it can take 10-15 seconds to serve an initial request. Things are snappy afterwards.

Correct, but for us (migrating from AE Flex to Standard) it meant that it was working out of the box.

We're a SaaS platform running on App Engine and were part of the early-access program. Porting over our Python 3 based platform from App Engine Flex to AE Standard took just a few hours - only tweaks needed were to the YAML config files and rewrite our deployment scripts after creating a new environment and project.

We still maintain a docker-based environment on AWS EBS which we were able to port over as well. Overall a fantastic experience. The App Engine Standard team provided stellar support too.

We did notice pure CPU performance on AE standard to be less than dedicated AE Flex instances, but on a price/performance ratio AE standard is 10X better for infrequently accessed micro-services which will allow us to migrate some of these to standard for great cost savings - as well as ramp up auto-scale to handle spikes automagically.

With Python 2 becoming officially deprecated in 2020 this means App Engine Standard just got a huge boost in long term relevance. Great for developers who want to deploy without having to deal with infrastructure.

Good to hear that AE standard - i.e. this vision of a 0-effort Python deployment support - is still relevant after all the Kubernetes-related announcements at Google Next.

I'm interested in knowing more about details - where you able to locate them?